Commit
•
497cd7f
1
Parent(s):
9dcc279
Initial commit
Browse files- README.md +37 -0
- a2c-PandaPickAndPlaceDense-v3.zip +3 -0
- a2c-PandaPickAndPlaceDense-v3/_stable_baselines3_version +1 -0
- a2c-PandaPickAndPlaceDense-v3/data +101 -0
- a2c-PandaPickAndPlaceDense-v3/policy.optimizer.pth +3 -0
- a2c-PandaPickAndPlaceDense-v3/policy.pth +3 -0
- a2c-PandaPickAndPlaceDense-v3/pytorch_variables.pth +3 -0
- a2c-PandaPickAndPlaceDense-v3/system_info.txt +9 -0
- config.json +1 -0
- replay.mp4 +0 -0
- results.json +1 -0
- vec_normalize.pkl +3 -0
README.md
ADDED
@@ -0,0 +1,37 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
---
|
2 |
+
library_name: stable-baselines3
|
3 |
+
tags:
|
4 |
+
- PandaPickAndPlaceDense-v3
|
5 |
+
- deep-reinforcement-learning
|
6 |
+
- reinforcement-learning
|
7 |
+
- stable-baselines3
|
8 |
+
model-index:
|
9 |
+
- name: A2C
|
10 |
+
results:
|
11 |
+
- task:
|
12 |
+
type: reinforcement-learning
|
13 |
+
name: reinforcement-learning
|
14 |
+
dataset:
|
15 |
+
name: PandaPickAndPlaceDense-v3
|
16 |
+
type: PandaPickAndPlaceDense-v3
|
17 |
+
metrics:
|
18 |
+
- type: mean_reward
|
19 |
+
value: -50.00 +/- 0.00
|
20 |
+
name: mean_reward
|
21 |
+
verified: false
|
22 |
+
---
|
23 |
+
|
24 |
+
# **A2C** Agent playing **PandaPickAndPlaceDense-v3**
|
25 |
+
This is a trained model of a **A2C** agent playing **PandaPickAndPlaceDense-v3**
|
26 |
+
using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3).
|
27 |
+
|
28 |
+
## Usage (with Stable-baselines3)
|
29 |
+
TODO: Add your code
|
30 |
+
|
31 |
+
|
32 |
+
```python
|
33 |
+
from stable_baselines3 import ...
|
34 |
+
from huggingface_sb3 import load_from_hub
|
35 |
+
|
36 |
+
...
|
37 |
+
```
|
a2c-PandaPickAndPlaceDense-v3.zip
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:14d0445423d6faa7a9927699d2c550d478d8b571a67fd5e98ac2abff55791ffa
|
3 |
+
size 4464532
|
a2c-PandaPickAndPlaceDense-v3/_stable_baselines3_version
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
2.1.0
|
a2c-PandaPickAndPlaceDense-v3/data
ADDED
@@ -0,0 +1,101 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
{
|
2 |
+
"policy_class": {
|
3 |
+
":type:": "<class 'abc.ABCMeta'>",
|
4 |
+
":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=",
|
5 |
+
"__module__": "stable_baselines3.common.policies",
|
6 |
+
"__doc__": "\n MultiInputActorClass policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space (Tuple)\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Uses the CombinedExtractor\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ",
|
7 |
+
"__init__": "<function MultiInputActorCriticPolicy.__init__ at 0x7c4ae2b43a30>",
|
8 |
+
"__abstractmethods__": "frozenset()",
|
9 |
+
"_abc_impl": "<_abc._abc_data object at 0x7c4ae2b3f800>"
|
10 |
+
},
|
11 |
+
"verbose": 1,
|
12 |
+
"policy_kwargs": {
|
13 |
+
":type:": "<class 'dict'>",
|
14 |
+
":serialized:": "gAWVlgAAAAAAAAB9lCiMCG5ldF9hcmNolF2UKE0AAk0AAmWMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=",
|
15 |
+
"net_arch": [
|
16 |
+
512,
|
17 |
+
512
|
18 |
+
],
|
19 |
+
"optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>",
|
20 |
+
"optimizer_kwargs": {
|
21 |
+
"alpha": 0.99,
|
22 |
+
"eps": 1e-05,
|
23 |
+
"weight_decay": 0
|
24 |
+
}
|
25 |
+
},
|
26 |
+
"num_timesteps": 1000000,
|
27 |
+
"_total_timesteps": 1000000,
|
28 |
+
"_num_timesteps_at_start": 0,
|
29 |
+
"seed": null,
|
30 |
+
"action_noise": null,
|
31 |
+
"start_time": 1700041320888962679,
|
32 |
+
"learning_rate": 0.0001,
|
33 |
+
"tensorboard_log": null,
|
34 |
+
"_last_obs": {
|
35 |
+
":type:": "<class 'collections.OrderedDict'>",
|
36 |
+
":serialized:": "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",
|
37 |
+
"achieved_goal": "[[ 0.39499062 1.1953642 0.05722931]\n [-1.0249877 -0.43567318 0.05722124]\n [-1.2780385 -0.7554122 0.05719756]\n [-1.1918136 1.1730994 0.05723327]]",
|
38 |
+
"desired_goal": "[[ 1.1314383 -0.8850752 0.9305427 ]\n [ 1.2414733 -0.5914324 -0.2805365 ]\n [-1.5155619 0.28835264 0.02970693]\n [-1.1445448 -0.11393379 1.2843088 ]]",
|
39 |
+
"observation": "[[ 6.89131320e-01 1.60660192e-01 -5.42840183e-01 -6.03928208e-01\n -3.72689664e-01 -2.95086455e+00 -5.19585550e-01 3.94990623e-01\n 1.19536424e+00 5.72293140e-02 -3.58174811e-03 -1.49994846e-02\n -9.84802004e-03 1.16721895e-02 -9.07601696e-03 2.54362095e-02\n 2.70428625e-03 -1.06107267e-02 3.56778677e-04]\n [ 7.14709342e-01 -2.37338215e-01 -1.04691029e-01 3.51397336e-01\n 8.58941197e-01 -1.45364094e+00 -5.19585192e-01 -1.02498770e+00\n -4.35673177e-01 5.72212376e-02 -3.29271657e-03 -1.49463080e-02\n -8.23915191e-03 1.21754594e-02 -1.02929333e-02 2.54362095e-02\n 2.70430534e-03 -1.06108123e-02 8.31292884e-04]\n [ 6.42720520e-01 6.34409130e-01 -1.10988605e+00 -1.11569263e-01\n 1.14608049e+00 -3.33704706e-03 -5.19546092e-01 -1.27803850e+00\n -7.55412221e-01 5.71975634e-02 -2.99351080e-03 -1.50487255e-02\n -1.20590935e-02 1.05120083e-02 -9.64388065e-03 2.54362095e-02\n 2.70425342e-03 -1.06107593e-02 -6.18128397e-04]\n [ 6.21684194e-01 4.65761274e-01 1.72638178e-01 -1.23403203e-02\n 7.54681587e-01 6.43493295e-01 -5.19583464e-01 -1.19181359e+00\n 1.17309940e+00 5.72332740e-02 -3.51568009e-03 -1.53751634e-02\n -1.31294103e-02 1.22973025e-02 -1.01832654e-02 2.50183195e-02\n 5.65161370e-03 -5.83225954e-03 -6.41940860e-04]]"
|
40 |
+
},
|
41 |
+
"_last_episode_starts": {
|
42 |
+
":type:": "<class 'numpy.ndarray'>",
|
43 |
+
":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="
|
44 |
+
},
|
45 |
+
"_last_original_obs": {
|
46 |
+
":type:": "<class 'collections.OrderedDict'>",
|
47 |
+
":serialized:": "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",
|
48 |
+
"achieved_goal": "[[ 0.14428186 0.04100502 0.02 ]\n [ 0.0138541 0.00968529 0.02 ]\n [ 0.13316092 -0.1066113 0.02 ]\n [ 0.01738723 0.11208023 0.02 ]]",
|
49 |
+
"desired_goal": "[[-0.09508967 -0.06528199 0.13301842]\n [-0.11040886 -0.13432287 0.04770606]\n [-0.13053517 0.04961459 0.02101322]\n [ 0.00719607 0.14821541 0.15122181]]",
|
50 |
+
"observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 0.0000000e+00 1.4428186e-01\n 4.1005023e-02 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 0.0000000e+00 1.3854099e-02\n 9.6852947e-03 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 0.0000000e+00 1.3316092e-01\n -1.0661130e-01 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 0.0000000e+00 1.7387228e-02\n 1.1208023e-01 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00]]"
|
51 |
+
},
|
52 |
+
"_episode_num": 0,
|
53 |
+
"use_sde": false,
|
54 |
+
"sde_sample_freq": -1,
|
55 |
+
"_current_progress_remaining": 0.0,
|
56 |
+
"_stats_window_size": 100,
|
57 |
+
"ep_info_buffer": {
|
58 |
+
":type:": "<class 'collections.deque'>",
|
59 |
+
":serialized:": "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"
|
60 |
+
},
|
61 |
+
"ep_success_buffer": {
|
62 |
+
":type:": "<class 'collections.deque'>",
|
63 |
+
":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="
|
64 |
+
},
|
65 |
+
"_n_updates": 12500,
|
66 |
+
"n_steps": 20,
|
67 |
+
"gamma": 0.99,
|
68 |
+
"gae_lambda": 0.95,
|
69 |
+
"ent_coef": 0.01,
|
70 |
+
"vf_coef": 0.5,
|
71 |
+
"max_grad_norm": 0.5,
|
72 |
+
"normalize_advantage": true,
|
73 |
+
"observation_space": {
|
74 |
+
":type:": "<class 'gymnasium.spaces.dict.Dict'>",
|
75 |
+
":serialized:": "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",
|
76 |
+
"spaces": "OrderedDict([('achieved_goal', Box(-10.0, 10.0, (3,), float32)), ('desired_goal', Box(-10.0, 10.0, (3,), float32)), ('observation', Box(-10.0, 10.0, (19,), float32))])",
|
77 |
+
"_shape": null,
|
78 |
+
"dtype": null,
|
79 |
+
"_np_random": null
|
80 |
+
},
|
81 |
+
"action_space": {
|
82 |
+
":type:": "<class 'gymnasium.spaces.box.Box'>",
|
83 |
+
":serialized:": "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",
|
84 |
+
"dtype": "float32",
|
85 |
+
"bounded_below": "[ True True True True]",
|
86 |
+
"bounded_above": "[ True True True True]",
|
87 |
+
"_shape": [
|
88 |
+
4
|
89 |
+
],
|
90 |
+
"low": "[-1. -1. -1. -1.]",
|
91 |
+
"high": "[1. 1. 1. 1.]",
|
92 |
+
"low_repr": "-1.0",
|
93 |
+
"high_repr": "1.0",
|
94 |
+
"_np_random": null
|
95 |
+
},
|
96 |
+
"n_envs": 4,
|
97 |
+
"lr_schedule": {
|
98 |
+
":type:": "<class 'function'>",
|
99 |
+
":serialized:": "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"
|
100 |
+
}
|
101 |
+
}
|
a2c-PandaPickAndPlaceDense-v3/policy.optimizer.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:45e1c7db3e01bb012dd2039834882fa29db086da99b1aaf26b2b2ec5ce8ac839
|
3 |
+
size 2222063
|
a2c-PandaPickAndPlaceDense-v3/policy.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:01e620ed017be0de074b8a883d6a9fac32bf53620375e3e940f7d627859812dc
|
3 |
+
size 2223343
|
a2c-PandaPickAndPlaceDense-v3/pytorch_variables.pth
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:0c35cea3b2e60fb5e7e162d3592df775cd400e575a31c72f359fb9e654ab00c5
|
3 |
+
size 864
|
a2c-PandaPickAndPlaceDense-v3/system_info.txt
ADDED
@@ -0,0 +1,9 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
- OS: Linux-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023
|
2 |
+
- Python: 3.10.12
|
3 |
+
- Stable-Baselines3: 2.1.0
|
4 |
+
- PyTorch: 2.1.0+cu118
|
5 |
+
- GPU Enabled: False
|
6 |
+
- Numpy: 1.23.5
|
7 |
+
- Cloudpickle: 2.2.1
|
8 |
+
- Gymnasium: 0.29.1
|
9 |
+
- OpenAI Gym: 0.25.2
|
config.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"policy_class": {":type:": "<class 'abc.ABCMeta'>", ":serialized:": "gAWVRQAAAAAAAACMIXN0YWJsZV9iYXNlbGluZXMzLmNvbW1vbi5wb2xpY2llc5SMG011bHRpSW5wdXRBY3RvckNyaXRpY1BvbGljeZSTlC4=", "__module__": "stable_baselines3.common.policies", "__doc__": "\n MultiInputActorClass policy class for actor-critic algorithms (has both policy and value prediction).\n Used by A2C, PPO and the likes.\n\n :param observation_space: Observation space (Tuple)\n :param action_space: Action space\n :param lr_schedule: Learning rate schedule (could be constant)\n :param net_arch: The specification of the policy and value networks.\n :param activation_fn: Activation function\n :param ortho_init: Whether to use or not orthogonal initialization\n :param use_sde: Whether to use State Dependent Exploration or not\n :param log_std_init: Initial value for the log standard deviation\n :param full_std: Whether to use (n_features x n_actions) parameters\n for the std instead of only (n_features,) when using gSDE\n :param use_expln: Use ``expln()`` function instead of ``exp()`` to ensure\n a positive standard deviation (cf paper). It allows to keep variance\n above zero and prevent it from growing too fast. In practice, ``exp()`` is usually enough.\n :param squash_output: Whether to squash the output using a tanh function,\n this allows to ensure boundaries when using gSDE.\n :param features_extractor_class: Uses the CombinedExtractor\n :param features_extractor_kwargs: Keyword arguments\n to pass to the features extractor.\n :param share_features_extractor: If True, the features extractor is shared between the policy and value networks.\n :param normalize_images: Whether to normalize images or not,\n dividing by 255.0 (True by default)\n :param optimizer_class: The optimizer to use,\n ``th.optim.Adam`` by default\n :param optimizer_kwargs: Additional keyword arguments,\n excluding the learning rate, to pass to the optimizer\n ", "__init__": "<function MultiInputActorCriticPolicy.__init__ at 0x7c4ae2b43a30>", "__abstractmethods__": "frozenset()", "_abc_impl": "<_abc._abc_data object at 0x7c4ae2b3f800>"}, "verbose": 1, "policy_kwargs": {":type:": "<class 'dict'>", ":serialized:": "gAWVlgAAAAAAAAB9lCiMCG5ldF9hcmNolF2UKE0AAk0AAmWMD29wdGltaXplcl9jbGFzc5SME3RvcmNoLm9wdGltLnJtc3Byb3CUjAdSTVNwcm9wlJOUjBBvcHRpbWl6ZXJfa3dhcmdzlH2UKIwFYWxwaGGURz/vrhR64UeujANlcHOURz7k+LWI42jxjAx3ZWlnaHRfZGVjYXmUSwB1dS4=", "net_arch": [512, 512], "optimizer_class": "<class 'torch.optim.rmsprop.RMSprop'>", "optimizer_kwargs": {"alpha": 0.99, "eps": 1e-05, "weight_decay": 0}}, "num_timesteps": 1000000, "_total_timesteps": 1000000, "_num_timesteps_at_start": 0, "seed": null, "action_noise": null, "start_time": 1700041320888962679, "learning_rate": 0.0001, "tensorboard_log": null, "_last_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.39499062 1.1953642 0.05722931]\n [-1.0249877 -0.43567318 0.05722124]\n [-1.2780385 -0.7554122 0.05719756]\n [-1.1918136 1.1730994 0.05723327]]", "desired_goal": "[[ 1.1314383 -0.8850752 0.9305427 ]\n [ 1.2414733 -0.5914324 -0.2805365 ]\n [-1.5155619 0.28835264 0.02970693]\n [-1.1445448 -0.11393379 1.2843088 ]]", "observation": "[[ 6.89131320e-01 1.60660192e-01 -5.42840183e-01 -6.03928208e-01\n -3.72689664e-01 -2.95086455e+00 -5.19585550e-01 3.94990623e-01\n 1.19536424e+00 5.72293140e-02 -3.58174811e-03 -1.49994846e-02\n -9.84802004e-03 1.16721895e-02 -9.07601696e-03 2.54362095e-02\n 2.70428625e-03 -1.06107267e-02 3.56778677e-04]\n [ 7.14709342e-01 -2.37338215e-01 -1.04691029e-01 3.51397336e-01\n 8.58941197e-01 -1.45364094e+00 -5.19585192e-01 -1.02498770e+00\n -4.35673177e-01 5.72212376e-02 -3.29271657e-03 -1.49463080e-02\n -8.23915191e-03 1.21754594e-02 -1.02929333e-02 2.54362095e-02\n 2.70430534e-03 -1.06108123e-02 8.31292884e-04]\n [ 6.42720520e-01 6.34409130e-01 -1.10988605e+00 -1.11569263e-01\n 1.14608049e+00 -3.33704706e-03 -5.19546092e-01 -1.27803850e+00\n -7.55412221e-01 5.71975634e-02 -2.99351080e-03 -1.50487255e-02\n -1.20590935e-02 1.05120083e-02 -9.64388065e-03 2.54362095e-02\n 2.70425342e-03 -1.06107593e-02 -6.18128397e-04]\n [ 6.21684194e-01 4.65761274e-01 1.72638178e-01 -1.23403203e-02\n 7.54681587e-01 6.43493295e-01 -5.19583464e-01 -1.19181359e+00\n 1.17309940e+00 5.72332740e-02 -3.51568009e-03 -1.53751634e-02\n -1.31294103e-02 1.22973025e-02 -1.01832654e-02 2.50183195e-02\n 5.65161370e-03 -5.83225954e-03 -6.41940860e-04]]"}, "_last_episode_starts": {":type:": "<class 'numpy.ndarray'>", ":serialized:": "gAWVdwAAAAAAAACMEm51bXB5LmNvcmUubnVtZXJpY5SMC19mcm9tYnVmZmVylJOUKJYEAAAAAAAAAAAAAACUjAVudW1weZSMBWR0eXBllJOUjAJiMZSJiIeUUpQoSwOMAXyUTk5OSv////9K/////0sAdJRiSwSFlIwBQ5R0lFKULg=="}, "_last_original_obs": {":type:": "<class 'collections.OrderedDict'>", ":serialized:": "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", "achieved_goal": "[[ 0.14428186 0.04100502 0.02 ]\n [ 0.0138541 0.00968529 0.02 ]\n [ 0.13316092 -0.1066113 0.02 ]\n [ 0.01738723 0.11208023 0.02 ]]", "desired_goal": "[[-0.09508967 -0.06528199 0.13301842]\n [-0.11040886 -0.13432287 0.04770606]\n [-0.13053517 0.04961459 0.02101322]\n [ 0.00719607 0.14821541 0.15122181]]", "observation": "[[ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 0.0000000e+00 1.4428186e-01\n 4.1005023e-02 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 0.0000000e+00 1.3854099e-02\n 9.6852947e-03 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 0.0000000e+00 1.3316092e-01\n -1.0661130e-01 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00]\n [ 3.8439669e-02 -2.1944723e-12 1.9740014e-01 0.0000000e+00\n -0.0000000e+00 0.0000000e+00 0.0000000e+00 1.7387228e-02\n 1.1208023e-01 2.0000000e-02 0.0000000e+00 -0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00 0.0000000e+00\n 0.0000000e+00 0.0000000e+00 0.0000000e+00]]"}, "_episode_num": 0, "use_sde": false, "sde_sample_freq": -1, "_current_progress_remaining": 0.0, "_stats_window_size": 100, "ep_info_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "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"}, "ep_success_buffer": {":type:": "<class 'collections.deque'>", ":serialized:": "gAWVIAAAAAAAAACMC2NvbGxlY3Rpb25zlIwFZGVxdWWUk5QpS2SGlFKULg=="}, "_n_updates": 12500, "n_steps": 20, "gamma": 0.99, "gae_lambda": 0.95, "ent_coef": 0.01, "vf_coef": 0.5, "max_grad_norm": 0.5, "normalize_advantage": true, "observation_space": {":type:": "<class 'gymnasium.spaces.dict.Dict'>", ":serialized:": "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", "spaces": "OrderedDict([('achieved_goal', Box(-10.0, 10.0, (3,), float32)), ('desired_goal', Box(-10.0, 10.0, (3,), float32)), ('observation', Box(-10.0, 10.0, (19,), float32))])", "_shape": null, "dtype": null, "_np_random": null}, "action_space": {":type:": "<class 'gymnasium.spaces.box.Box'>", ":serialized:": "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", "dtype": "float32", "bounded_below": "[ True True True True]", "bounded_above": "[ True True True True]", "_shape": [4], "low": "[-1. -1. -1. -1.]", "high": "[1. 1. 1. 1.]", "low_repr": "-1.0", "high_repr": "1.0", "_np_random": null}, "n_envs": 4, "lr_schedule": {":type:": "<class 'function'>", ":serialized:": "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"}, "system_info": {"OS": "Linux-5.15.120+-x86_64-with-glibc2.35 # 1 SMP Wed Aug 30 11:19:59 UTC 2023", "Python": "3.10.12", "Stable-Baselines3": "2.1.0", "PyTorch": "2.1.0+cu118", "GPU Enabled": "False", "Numpy": "1.23.5", "Cloudpickle": "2.2.1", "Gymnasium": "0.29.1", "OpenAI Gym": "0.25.2"}}
|
replay.mp4
ADDED
Binary file (595 kB). View file
|
|
results.json
ADDED
@@ -0,0 +1 @@
|
|
|
|
|
1 |
+
{"mean_reward": -50.0, "std_reward": 0.0, "is_deterministic": true, "n_eval_episodes": 10, "eval_datetime": "2023-11-15T10:55:02.645313"}
|
vec_normalize.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:4abe75f62b58bd8282ad87115d3f340d332812942061b356052abaad9530dcab
|
3 |
+
size 3013
|